Search results for Deep Learning Development Programming

Found 343 documents, 5944 searched:

• 50+ Data Science and Machine Learning Cheat Sheets

  Gear up to speed and have Data Science & Data Mining concepts and commands handy with these cheatsheets covering R, Python, Django, MySQL, SQL, Hadoop, Apache Spark and Machine learning algorithms.

  https://www.kdnuggets.com/2015/07/good-data-science-machine-learning-cheat-sheets.html

• OpenML: Share, Discover and Do Machine Learning

  OpenML is designed to share, organize and reuse data, code and experiments, so that scientists can make discoveries more efficiently. It is an interesting idea to build a network of machine learning.

  https://www.kdnuggets.com/2014/08/openml-share-discover-do-machine-learning.html

• Blogs on AI, Analytics, Data Science, Machine Learning

  Here are some of the most interesting and regularly-updated blogs on Analytics, Big Data, Data Science, Data Mining, and Machine Learning, in alphabetical order. Blog Read more »

  https://www.kdnuggets.com/websites/blogs.html

• Certificates & Certifications in AI, Analytics, Data Science, Machine Learning

  Education | Certificates | Courses | Online Masters   Certificates Brandeis Graduate Certificate in Learning Analytics: 15-credit, five-course program to be completed in 1.5 years Read more »

  https://www.kdnuggets.com/education/analytics-data-mining-certificates.html

• Software Suites/Platforms for Analytics, Data Mining, Data Science, and Machine Learning

  commercial | free/open source A B C D E F G H I J K L M N O PQ R S T U V Read more »

  https://www.kdnuggets.com/software/suites.html

• Companies with Analytics, Data Mining, Data Science, and Machine Learning Products

  A B C D E F G H I J K L M N O P Q R S T U V W XYZ Advanced Read more »

  https://www.kdnuggets.com/companies/products.html

• Consulting Companies in AI, Analytics, Data Science, and Machine Learning

  A B C D E F G H I J K L M N O P Q R S T U V W XYZ 4i, Read more »

  https://www.kdnuggets.com/companies/consulting.html

• 5 Courses to Master LLMs

  The future world is full of LLM, and you don’t want to miss this most sought skill.

  https://www.kdnuggets.com/5-courses-to-master-llms

• Free Mastery Course: Become a Large Language Model Expert

  It is a self-paced course that covers fundamental and advanced concepts of LLMs and teaches how to deploy them in production.

  https://www.kdnuggets.com/ree-mastery-course-become-a-large-language-model-expert

• 3 Inspirational Stories of Leaders in AI

  Every leader has their origin story, and here are some that might inspire you.

  https://www.kdnuggets.com/3-inspirational-stories-of-leaders-in-ai

• 5 Free Courses to Break Into Data Analytics

  Looking to make a career in data analytics? Take the first steps today with these free courses.

  https://www.kdnuggets.com/5-free-courses-to-break-into-data-analytics

• 8 Free Google Courses to Land Top Paying Jobs

  Learning a new skill just got better with these 10 free courses for lucrative careers.

  https://www.kdnuggets.com/8-free-google-courses-to-land-top-paying-jobs

• Read This Before Making a Career Switch to Data Science

  From Skill Assessment to Networking: Your Roadmap to Thriving in the World of Data Science.

  https://www.kdnuggets.com/read-this-before-making-a-career-switch-to-data-science

• Enroll in a 4-year Computer Science Degree Program For Free

  Enroll in the free OSSU Computer Science degree program and launch your career in tech today. Learn from high-quality courses from professors from leading universities like MIT, Harvard, and Princeton.

  https://www.kdnuggets.com/enroll-in-a-4-year-computer-science-degree-program-for-free

• Level 50 Data Scientist: Python Libraries to Know

  This article will help you understand the different tools of Data Science used by experts for Data Visualization, Model Building, and Data Manipulation.

  https://www.kdnuggets.com/level-50-data-scientist-python-libraries-to-know

• What Junior ML Engineers Actually Need to Know to Get Hired?

  This article will provided you with a better understanding of what skills are required for a junior ML developer to be considered for a job. If you are looking to land your first job, you should read this article thoroughly.

  https://www.kdnuggets.com/what-junior-ml-engineers-actually-need-to-know-to-get-hired

• 5 Free Courses to Master MLOps

  Have you finished learning the basics of machine learning and now wondering what's next? You're in the right place!

  https://www.kdnuggets.com/5-free-courses-to-master-mlops

• Back to Basics Week 4: Advanced Topics and Deployment

  Welcome back to Week 4 of KDnuggets’ "Back to Basics" series. This week, we will dive into more advanced topics such as neural networks and deployment.

  https://www.kdnuggets.com/back-to-basics-week-4-advanced-topics-and-deployment

• How to Make Large Language Models Play Nice with Your Software Using LangChain

  Beyond simply chatting with an AI model and how LangChain elevates LLM interactions with humans.

  https://www.kdnuggets.com/how-to-make-large-language-models-play-nice-with-your-software-using-langchain

• Job Trends in Data Analytics: Part 2

  Check out these skillsets in demand for the data analytics job market.

  https://www.kdnuggets.com/job-trends-in-data-analytics-part-2

• A Microsoft Engineer’s Guide to AI Innovation and Leadership

  Dive into the insights of AI innovation with Microsoft's Senior Software Engineer, Manas Joshi: A journey of technology, triumph, and teachings for the next generation.

  https://www.kdnuggets.com/a-microsoft-engineer-guide-to-ai-innovation-and-leadership

• Drag, Drop, Analyze: The Rise of No-Code Data Science

  No-code or low-code functionalities in data science have gained significant traction in recent years. These solutions are well-proven and matured, and they make data science more accessible to a wider range of people.

  https://www.kdnuggets.com/drag-drop-analyze-the-rise-of-nocode-data-science

• Mastering the Data Universe: Key Steps to a Thriving Data Science Career

  This article covered the six main pillars of a data science career from learning skills to getting a job.

  https://www.kdnuggets.com/mastering-the-data-universe-key-steps-to-a-thriving-data-science-career

• Job Trends in Data Analytics: NLP for Job Trend Analysis

  Perform job trend analysis and check the results using NLP.

  https://www.kdnuggets.com/job-trends-in-data-analytics-nlp-for-job-trend-analysis

• Top 7 Free Cloud Notebooks for Data Science

  Cloud notebooks are game-changers for data science, providing free access to computing, pre-built environments, collaboration features, and third-party integrations - everything you need to enhance your workflow.

  https://www.kdnuggets.com/top-7-free-cloud-notebooks-for-data-science

• Want to Become a Data Scientist? Part 1: 10 Hard Skills You Need

  A quick 10-step hard skill guide on what you need to become a Data Scientist.

  https://www.kdnuggets.com/want-to-become-a-data-scientist-part-1-10-hard-skills-you-need

• Getting Started with Python for Data Science

  Back to Basics: A beginner's guide to setting up Python and understanding its role in data science.

  https://www.kdnuggets.com/getting-started-with-python-for-data-science

• How to Ace Data Scientist Professional Certificate Exam

  Gain insights into the certification process and expert tips for passing the certificate exam.

  https://www.kdnuggets.com/2023/08/ace-data-scientist-professional-certificate.html

• LangChain + Streamlit + Llama: Bringing Conversational AI to Your Local Machine

  Integrating Open Source LLMs and LangChain for Free Generative Question Answering (No API Key required).

  https://www.kdnuggets.com/2023/08/langchain-streamlit-llama-bringing-conversational-ai-local-machine.html

• A Comprehensive Guide to MLOps

  Machine Learning Operations (MLOps) is a relatively new discipline that provides the structure and support necessary for machine learning (ML) models to thrive in production environments.

  https://www.kdnuggets.com/2023/08/comprehensive-guide-mlops.html

• This Week in AI, August 7: Generative AI Comes to Jupyter & Stack Overflow • ChatGPT Updates

  "This Week in AI" on KDnuggets provides a weekly roundup of the latest happenings in the world of Artificial Intelligence. Covering a wide range of topics from recent headlines, scholarly articles, educational resources, to spotlight research, the post is designed to keep readers up-to-date and informed about the ever-evolving field of AI.

  https://www.kdnuggets.com/2023/mm/this-week-ai-2023-08-07.html

• This Week in AI, July 31: AI Titans Pledge Responsible Innovation • The Beluga Invasion

  "This Week in AI" on KDnuggets provides a weekly roundup of the latest happenings in the world of Artificial Intelligence. Covering a wide range of topics from recent headlines, scholarly articles, educational resources, to spotlight research, the post is designed to keep readers up-to-date and informed about the ever-evolving field of AI.

  https://www.kdnuggets.com/2023/07/this-week-ai-2023-07-31.html

• Introduction to Data Science: A Beginner’s Guide

  This article is a guide for new data scientists, and it's designed to help you get started quickly. It's meant to be a starting point, but if you're already in the market for a new job, you may want to read this article more.

  https://www.kdnuggets.com/2023/07/introduction-data-science-beginner-guide.html

• Mastering GPUs: A Beginner’s Guide to GPU-Accelerated DataFrames in Python

  RAPIDS cuDF, with its pandas-like API, enables data scientists and engineers to quickly tap into the immense potential of parallel computing on GPUs–with just a few code line changes. Read on for more.

  https://www.kdnuggets.com/2023/07/mastering-gpus-beginners-guide-gpu-accelerated-dataframes-python.html

• Synthetic Data Platforms: Unlocking the Power of Generative AI for Structured Data

  The article highlights various use cases of synthetic data, including generating confidential data, rebalancing imbalanced data, and imputing missing data points. It also provides information on popular synthetic data generation tools such as MOSTLY AI, SDV, and YData.

  https://www.kdnuggets.com/2023/07/synthetic-data-platforms-unlocking-power-generative-ai-structured-data.html

• Here Are the AI Tools I Use Along With My Skills to Make $10,000 Monthly — No BS

  And discover how you can maximize your earnings with AI.

  https://www.kdnuggets.com/2023/07/ai-tools-along-skills-make-10000-monthly-bs.html

• Exploring the Latest Trends in AI/DL: From Metaverse to Quantum Computing

  The author discusses several emerging trends in Artificial Intelligence and Deep Learning such as Metaverse and Quantum Computing.

  https://www.kdnuggets.com/2023/07/exploring-latest-trends-aidl-metaverse-quantum-computing.html

• More Free Courses on Large Language Models

  Interested in learning about large language models? Get up and running with these free courses from DeepLearning.AI, Google Cloud, Udacity, and more.

  https://www.kdnuggets.com/2023/06/free-courses-large-language-models.html

• Your Ultimate Guide to Chat GPT and Other Abbreviations

  Everyone seems to have gone crazy about ChatGPT, which has become a cultural phenomenon. If you’re not on the ChatGPT train yet, this article might help you better understand the context and excitement around this innovation.

  https://www.kdnuggets.com/2023/06/ultimate-guide-chat-gpt-abbreviations.html

• Free Full Stack LLM Bootcamp

  Want to learn more about LLMs and build cool LLM-powered applications? This free Full Stack LLM Bootcamp is all you need!

  https://www.kdnuggets.com/2023/06/free-full-stack-llm-bootcamp.html

• AI: Large Language & Visual Models

  This article discusses the significance of large language and visual models in AI, their capabilities, potential synergies, challenges such as data bias, ethical considerations, and their impact on the market, highlighting their potential for advancing the field of artificial intelligence.

  https://www.kdnuggets.com/2023/06/ai-large-language-visual-models.html

• Ten Years of AI in Review

  From image classification to chatbot therapy.

  https://www.kdnuggets.com/2023/06/ten-years-ai-review.html

• AgentGPT: Autonomous AI Agents in your Browser

  Give your AI agent a name and goal, and watch it accomplish the assigned objective.

  https://www.kdnuggets.com/2023/06/agentgpt-autonomous-ai-agents-browser.html

• The Top AutoML Frameworks You Should Consider in 2023

  AutoML frameworks are powerful tool for data analysts and machine learning specialists that can automate data preprocessing, model selection, hyperparameter tuning, and even perform complex tasks like feature engineering.

  https://www.kdnuggets.com/2023/05/best-automl-frameworks-2023.html

• The Role of Open Source Tools in Accelerating Data Science Progress

  Open source tools have had a pivotal role in the evolution of data science, from providing the foundation for analysis, to fueling the innovation that shapes today's landscape. The open source impact on data science is demonstrated best by looking at the relationship's past, present, and future.

  https://www.kdnuggets.com/2023/05/role-open-source-tools-accelerating-data-science-progress.html

• Web LLM: Bring LLM Chatbots to the Browser

  Wouldn't it be cool if you can run LLMs and LLM chatbots natively in your browser? Let's learn more about the Web LLM project, an interesting step in this direction.

  https://www.kdnuggets.com/2023/05/webllm-bring-llm-chatbots-browser.html

• Should You Consider a DataOps Career?

  Transitioning your career to DataOps could be just the change you need - not only will it provide the possibility to expand your technical skills, but also a rewarding salary with many job openings.

  https://www.kdnuggets.com/2023/05/consider-dataops-career.html

• The Role of the MLOps Engineer in an Organization

  Interested in becoming an MLOps engineer? Start today by learning more about the MLOps engineer role.

  https://www.kdnuggets.com/2023/04/role-mlops-engineer-organization.html

• How to Use ChatGPT to Improve Your Data Science Skills

  And How to Speed up your research of data science resources without wasting energy.

  https://www.kdnuggets.com/2023/03/chatgpt-improve-data-science-skills.html

• A Complete Collection of Data Science Free Courses – Part 2

  The second part covers the list of Machine Learning, Deep Learning, Computer Vision, Natural Language Processing, Data Engineering, and MLOps.

  https://www.kdnuggets.com/2023/03/complete-collection-data-science-free-courses-part-2.html

• 9 Top Platforms to Practice Key Data Science Skills

  Which platforms would I recommend as a go-to for learning and practicing data science skills? The list would change every day, depending on my mood. Here’s today’s list with an overview of each platform.

  https://www.kdnuggets.com/2023/03/9-top-platforms-practice-key-data-science-skills.html

• Top Free Courses on Large Language Models

  Interested in learning how ChatGPT and other AI chatbots work under the hood? Look no further. Check out these free courses and resources on large language models from Stanford, Princeton, ETH, and more.

  https://www.kdnuggets.com/2023/03/top-free-courses-large-language-models.html

• Free TensorFlow 2.0 Complete Course

  Are you a beginner python programmer aiming to make a career in Machine Learning? If yes, then you are at the right place! This FREE tutorial will give you a solid understanding of the foundations of Machine Learning and Neural Networks using TensorFlow 2.0.

  https://www.kdnuggets.com/2023/02/free-tensorflow-20-complete-course.html

• The Complete Data Science Study Roadmap

  This article will map out the things you need to do to become a data scientist.

  https://www.kdnuggets.com/2022/08/complete-data-science-study-roadmap.html

• Data Science Minimum: 10 Essential Skills You Need to Know to Start Doing Data Science

  Data science is ever-evolving, so mastering its foundational technical and soft skills will help you be successful in a career as a Data Scientist, as well as pursue advance concepts, such as deep learning and artificial intelligence.

  https://www.kdnuggets.com/2020/10/data-science-minimum-10-essential-skills.html

• From Data to Verse: KDnuggets and ChatGPT in Conversation

  KDnuggets recently had the opportunity to sit down with newly-released acclaimed artificial intelligence ChatGTP from OpenAI. What we found during the course of conversation was both interesting and surprising. Read on to find out what ChatGPT knew about data science and much more.

  https://www.kdnuggets.com/2022/12/kdnuggets-chatgpt-conversation.html

• Top 10 Data Science Myths Busted

  The data science field is full of job opportunities, yet there is still a lot of confusion about what data scientists actually do. This confusion is largely due to the many myths that exist about the role of a data scientist. In this article, we will bust the top 10 myths about data science. By the end of this article, you will have a better understanding of the role of a data scientist and what it takes to be one.

  https://www.kdnuggets.com/2022/12/top-10-data-science-myths-busted.html

• 7 SQL Concepts You Should Know For Data Science

  The post explains all the key elements of SQL that you must know as a data science practitioner.

  https://www.kdnuggets.com/2022/11/7-sql-concepts-needed-data-science.html

• 6 Best Free Online Courses to Learn Python and Boost Your Career

  The demand for Data Scientists who are proficient in Python is at an all time high.  Python has helped people boost their careers in finance, consulting, research, software tech, and robotics. Explore 6 courses designed to help you learn Python.

  https://www.kdnuggets.com/2022/11/corise-6-best-free-online-courses-python-boost-career.html

• 7 Python Projects for Beginners

  Simple and fun Python projects to get experience and build a strong portfolio.

  https://www.kdnuggets.com/2022/11/7-python-projects-beginners.html

• Lessons from a Senior Data Scientist

  The aim of this article was for me to gain a deeper insight into the life of a senior data scientist and how their experience can be used as lessons for up-and-coming data scientists.

  https://www.kdnuggets.com/2022/09/lessons-senior-data-scientist.html

• How To Calculate Algorithm Efficiency

  In this article, we will discuss how to calculate algorithm efficiency, focusing on two main ways to measure it and providing an overview of the calculation process.

  https://www.kdnuggets.com/2022/09/calculate-algorithm-efficiency.html

• AWS AI & ML Scholarship Program Overview

  This scholarship program aims to help people who are underserved and that were underrepresented during high school and college - to then help them learn the foundations and concepts of Machine Learning and build a careers in AI and ML.

  https://www.kdnuggets.com/2022/09/aws-ai-ml-scholarship-program-overview.html

• Is There a Way to Bridge the MLOps Tools Gap?

  Converting Jupyter notebooks to a well-designed software system is a mandatory step in every ML project. But there is a notable lack of tooling to assist developers with such translation, beyond the basic nbconvert utility.

  https://www.kdnuggets.com/2022/08/way-bridge-mlops-tools-gap.html

• The Complete Collection of Data Science Projects – Part 2

  The second part covers the list of Machine Learning, Deep Learning, Computer Vision, Natural Language Processing, Data Engineering, and MLOps.

  https://www.kdnuggets.com/2022/08/complete-collection-data-science-projects-part-2.html

• 5 Key Data Science Trends & Analytics Trends

  Let’s have a look at some of the key tech trends on the horizon right now.

  https://www.kdnuggets.com/2022/08/5-key-data-science-trends-analytics-trends.html

• Most In-demand Artificial Intelligence Skills To Learn In 2022

  Artificial Intelligence (AI) is the process of programming a computer that can reason and learn like a human being and make decisions for itself.

  https://www.kdnuggets.com/2022/08/indemand-artificial-intelligence-skills-learn-2022.html

• Top Data Science Podcasts for 2022

  Here are some data science related podcasts to help you either grow your interest in the field, increase your current knowledge, or help you develop yourself.

  https://www.kdnuggets.com/2022/06/top-data-science-podcasts-2022.html

• Learn MLOps with This Free Course

  Learn to train and track your experiments, create ML pipelines, model deployment, monitor the performance in production, and adopt best practices from DevOps.

  https://www.kdnuggets.com/2022/06/learn-mlops-free-course.html

• The Complete Collection of Data Science Books – Part 2

  Read the best books on Machine Learning, Deep Learning, Computer Vision, Natural Language Processing, MLOps, Robotics, IoT, AI Products Management, and Data Science for Executives.

  https://www.kdnuggets.com/2022/05/complete-collection-data-science-books-part-2.html

• Pydon’ts – Write elegant Python code: Free Book Review

  The book consists of 200 actionable Python insights with a detailed explanation of how to write elegant, compelling, and expressive code.

  https://www.kdnuggets.com/2022/05/pydonts-write-elegant-python-code-free-book-review.html

• The Complete Collection of Data Science Books – Part 1

  Read the best books on Programming, Statistics, Data Engineering, Web Scraping, Data Analytics, Business Intelligence, Data Applications, Data Management, Big Data, and Cloud Architecture.

  https://www.kdnuggets.com/2022/05/complete-collection-data-science-books-part-1.html

• Why You Need To Learn Python In 2022

  If you don’t already know a programming language, or if you’re deciding to choose another language, have a read and see if Python is for you.

  https://www.kdnuggets.com/2022/04/need-learn-python-2022.html

• 15 Trending MLOps Talks You can Access for Free at ODSC East 2022

  Covering topics like workflows and full-stack machine learning, these are 15 free MLOps talks coming to #ODSCEast 2022 that you can see with a free Bronze Pass.

  https://www.kdnuggets.com/2022/04/odsc-15-trending-mlops-talks-access-free-odsc-east-2022.html

• MLOps Is a Mess But That’s to be Expected

  In this post, I want to focus the discussion about the state of machine learning operations (MLOps) today, where we are, where we are going.

  https://www.kdnuggets.com/2022/03/mlops-mess-expected.html

• Become a Data Science Professional in Five Steps

  If your new year's resolution was to start a career in data science but you have stalled, simply follow these easy steps to acquire professional certification within a year.

  https://www.kdnuggets.com/2022/03/become-data-science-professional-five-steps.html

• Boost Your AI and ML Skills for Free at NVIDIA Conference

  Four-day conference offers hundreds of learning and development opportunities in AI, ML, DL, robotics, data science and high performance computing for developers at all levels.

  https://www.kdnuggets.com/2022/03/nvidia-fourday-conference-offers-hundreds-learning-development-opportunities.html

• Top Data Science Tools for 2022

  Check out this curated collection for new and popular tools to add to your data stack this year.

  https://www.kdnuggets.com/2022/03/top-data-science-tools-2022.html

• The Chatbot Transformation: From Failure to the Future

  The all-knowing chatbots we once thought to be the future have been replaced by specialized bots, and the results are outstanding.

  https://www.kdnuggets.com/2021/12/chatbot-transformation-failure-future.html

• 10 Key AI & Data Analytics Trends for 2022 and Beyond

  What AI and data analytics trends are taking the industry by storm this year? This comprehensive review highlights upcoming directions in AI to carefully watch and consider implementing in your personal work or organization.

  https://www.kdnuggets.com/2021/12/10-key-ai-trends-for-2022.html

• Cloud ML In Perspective: Surprises of 2021, Projections for 2022

  Let’s take a closer look on Cloud ML market in 2021 in retrospective (with occasional drills into realities of 2020, too). Read this in-depth analysis.

  https://www.kdnuggets.com/2021/12/cloud-ml-perspective-surprises-2021-projections-2022.html

• What Does a Data Scientist Do?

  This guide provides you with the best possible, most direct, and clear answers to "What is data science?" and "What does a data scientist do?".

  https://www.kdnuggets.com/2021/12/what-does-a-data-scientist-do.html

• 25 Github Repositories Every Python Developer Should Know

  Check out these repositories to help you improve your data science skills.

  https://www.kdnuggets.com/2021/11/25-github-repositories-python-developer.html

• Advanced PyTorch Lightning with TorchMetrics and Lightning Flash

  In this tutorial we will be diving deeper into two additional tools you should be using: TorchMetrics and Lightning Flash. TorchMetrics unsurprisingly provides a modular approach to define and track useful metrics across batches and devices, while Lightning Flash offers a suite of functionality facilitating more efficient transfer learning and data handling, and a recipe book of state-of-the-art approaches to typical deep learning problems.

  https://www.kdnuggets.com/2021/11/advanced-pytorch-lightning-torchmetrics-lightning-flash.html

• How to Build Data Frameworks with Open Source Tools to Enhance Agility and Security

  Let’s take a look at how to harness open source tools to build your data frameworks.

  https://www.kdnuggets.com/2021/10/build-data-frameworks-open-source-tools-agility-security.html

• A Guide to 14 Different Data Science Jobs">A Guide to 14 Different Data Science Jobs

  The field of data science is growing into one that features a variety of job titles This guide reviews different positions available for you to consider if you have a data science background.

  https://www.kdnuggets.com/2021/10/guide-14-different-data-science-jobs.html

• 11 Most Practical Data Science Skills for 2022

  While the field of data science continues to evolve with exciting new progress in analytical approaches and machine learning, there remain a core set of skills that are foundational for all general practitioners and specialists, especially those who want to be employable with full-stack capabilities.

  https://www.kdnuggets.com/2021/10/11-most-practical-data-science-skills-2022.html

• New Computing Paradigm for AI: Processing-in-Memory (PIM) Architecture

  As larger deep neural networks are trained on the latest and fastest chip technologies, an important challenge remains that bottlenecks performance -- and it is not compute power. You can try to calculate a DNN as fast as possible, but there is data -- and it has to move. Data pipelines on the chip are expensive and new solutions must be developed to advance capabilities.

  https://www.kdnuggets.com/2021/10/samsung-computing-paradigm-ai-in-memory.html

• Introduction to PyTorch Lightning">Introduction to PyTorch Lightning

  PyTorch Lightning is a high-level programming layer built on top of PyTorch. It makes building and training models faster, easier, and more reliable.

  https://www.kdnuggets.com/2021/10/introduction-pytorch-lightning.html

• Path to Full Stack Data Science">Path to Full Stack Data Science

  Start your journey toward mastering all aspects of the field of Data Science with this focused list of in-depth self-learning resources. Curated with the beginner in mind, these recommendations will help you learn efficiently, and can also offer existing professionals useful highlights for review or help filling in any gaps in skills.

  https://www.kdnuggets.com/2021/09/path-full-stack-data-science.html

• 11 Best Data Science Education Platforms

  We cover 11 best Data Science Education platforms for 11 different use cases, ranging from specific languages to hands-on learners, to the best free option.

  https://www.kdnuggets.com/2021/08/11-best-data-science-education-platforms.html

• 15 Things I Look for in Data Science Candidates

  This article presents advice for anyone looking or hiring for data science jobs, written by someone with practical and useful insight.

  https://www.kdnuggets.com/2021/08/15-things-data-science-candidates.html

• Why and how should you learn “Productive Data Science”?">Why and how should you learn “Productive Data Science”?

  What is Productive Data Science and what are some of its components?

  https://www.kdnuggets.com/2021/07/learn-productive-data-science.html

• Understanding BERT with Hugging Face

  We don’t really understand something before we implement it ourselves. So in this post, we will implement a Question Answering Neural Network using BERT and a Hugging Face Library.

  https://www.kdnuggets.com/2021/07/understanding-bert-hugging-face.html

• How Can You Distinguish Yourself from Hundreds of Other Data Science Candidates?">How Can You Distinguish Yourself from Hundreds of Other Data Science Candidates?

  A few easy (and not-so-easy) ways to prove to employers that your skills and attitudes place you in a higher bracket.

  https://www.kdnuggets.com/2021/07/distinguish-yourself-hundreds-other-data-science-candidates.html

• 10 Mistakes You Should Avoid as a Data Science Beginner

  Read this article on how to gain a competitive advantage in the data science job market.

  https://www.kdnuggets.com/2021/06/10-mistakes-avoid-data-science-beginner.html

• Data Scientists are from Mars and Software Developers are from Venus

  Within the broad universe of IT in the business world, the approaches for deploying solutions by traditional software engineers and trendy, new data scientists couldn't be more different. However, appreciating these differences are incredibly important because great business value can be gained by integrating both worlds of development into driving more efficiency and effectiveness into an organization.

  https://www.kdnuggets.com/2021/06/data-scientists-mars-software-developers-venus.html

• The 7 Best Open Source AI Libraries You May Not Have Heard Of

  AI researchers today have many exciting options for working with specialized tools. Although starting original projects from scratch is often not necessary, knowing which existing library to leverage remains a challenge. This list of generally unknown yet awesome, open-source libraries offers an interesting collection to consider for state-of-the-art research that spans from automatic machine learning to differentiable quantum circuits.

  https://www.kdnuggets.com/2021/06/7-open-source-ai-libraries.html

• Building RESTful APIs using Flask

  Learn about using the lightweight web framework in Python from this article.

  https://www.kdnuggets.com/2021/05/building-restful-apis-flask.html

• Awesome list of datasets in 100+ categories

  With an estimated 44 zettabytes of data in existence in our digital world today and approximately 2.5 quintillion bytes of new data generated daily, there is a lot of data out there you could tap into for your data science projects. It's pretty hard to curate through such a massive universe of data, but this collection is a great start. Here, you can find data from cancer genomes to UFO reports, as well as years of air quality data to 200,000 jokes. Dive into this ocean of data to explore as you learn how to apply data science techniques or leverage your expertise to discover something new.

  https://www.kdnuggets.com/2021/05/awesome-list-datasets.html

• Best Python Books for Beginners and Advanced Programmers

  Let's take a look at nine of the best Python books for both beginners and advanced programmers, covering topics such as data science, machine learning, deep learning, NLP, and more.

  https://www.kdnuggets.com/2021/05/best-python-books-beginner-advanced.html

• Data Science Curriculum for Professionals

  If you are looking to expand or transition your current professional career that is buried in spreadsheet analysis into one powered by data science, then you are in for an exciting but complex journey with much to explore and master. To begin your adventure, following this complete road map to guide you from a gnome in the forest of spreadsheets to an AI wizard known far and wide throughout the kingdom.

  https://www.kdnuggets.com/2021/03/data-science-curriculum-professionals.html

• The Ultimate Guide to Acing Coding Interviews for Data Scientists">The Ultimate Guide to Acing Coding Interviews for Data Scientists

  This article covers understanding the 4 types of coding interview questions and preparing for them effectively.

  https://www.kdnuggets.com/2021/03/ultimate-guide-acing-coding-interviews-data-scientists.html

• 10 resources for data science self-study

  Many resources exist for the self-study of data science. In our modern age of information technology, an enormous amount of free learning resources are available to anyone, and with effort and dedication, you can master the fundamentals of data science.

  https://www.kdnuggets.com/2021/02/10-resources-data-science-self-study.html

• Who is fit to lead data science?

  Data science success depends on leaders, not the latest hands-on programming skills. So, we need to start looking for the right leadership skills and stop stuffing job postings with requirements for experience in the most current development tools.

  https://www.kdnuggets.com/2021/02/fit-lead-data-science.html

• Build Your First Data Science Application">Build Your First Data Science Application

  Check out these seven Python libraries to make your first data science MVP application.

  https://www.kdnuggets.com/2021/02/build-first-data-science-application.html

• Best Python IDEs and Code Editors You Should Know">Best Python IDEs and Code Editors You Should Know

  Developing machine learning algorithms requires implementing countless libraries and integrating many supporting tools and software packages. All this magic must be written by you in yet another tool -- the IDE -- that is fundamental to all your code work and can drive your productivity. These top Python IDEs and code editors are among the best tools available for you to consider, and are reviewed with their noteworthy features.

  https://www.kdnuggets.com/2021/01/best-python-ide-code-editors.html

• Monte Carlo integration in Python">Monte Carlo integration in Python

  A famous Casino-inspired trick for data science, statistics, and all of science. How to do it in Python?

  https://www.kdnuggets.com/2020/12/monte-carlo-integration-python.html

• Building AI Models for High-Frequency Streaming Data – Part Two

  Many data scientists have implemented machine or deep learning algorithms on static data or in batch, but what considerations must you make when building models for a streaming environment? In this post, we will discuss these considerations.

  https://www.kdnuggets.com/2020/12/mathworks-pt2-ai-models-streaming-data.html

• Data Science History and Overview

  In this era of big data that is only getting bigger, a huge amount of information from different fields is gathered and stored. Its analysis and extraction of value have become one of the most attractive tasks for companies and society in general, which is harnessed by the new professional role of the Data Scientist.

  https://www.kdnuggets.com/2020/11/data-science-history-overview.html

• Is Data Science for Me? 14 Self-examination Questions to Consider">Is Data Science for Me? 14 Self-examination Questions to Consider

  You are intrigued by this exciting new field of Data Science, and you think you want in on the action. The demand remains very high and the salaries are strong. Before taking the leap onto this path, these questions will help you evaluate if you are ready for the challenges and opportunities.

  https://www.kdnuggets.com/2020/11/data-science-14-self-examination-questions.html

• Algorithms for Advanced Hyper-Parameter Optimization/Tuning

  In informed search, each iteration learns from the last, whereas in Grid and Random, modelling is all done at once and then the best is picked. In case for small datasets, GridSearch or RandomSearch would be fast and sufficient. AutoML approaches provide a neat solution to properly select the required hyperparameters that improve the model’s performance.

  https://www.kdnuggets.com/2020/11/algorithms-for-advanced-hyper-parameter-optimization-tuning.html

• The Best Data Science Certification You’ve Never Heard Of">The Best Data Science Certification You’ve Never Heard Of

  The CDMP is the best data strategy certification you’ve never heard of. (And honestly, when you consider the fact that you’re probably working a job that didn’t exist ten years ago, it’s not surprising that this certification isn’t widespread just yet.)

  https://www.kdnuggets.com/2020/11/best-data-science-certification-never-heard.html

• Software 2.0 takes shape

  Software developers remain in very high demand as many organizations continue to experience workloads that far exceed available talent. AI-enhanced approaches that automate more areas of the software development lifecycle are in development with interesting potentials for how machine learning and natural language processing can significantly impact how software is designed, developed, tested, and deployed in the future.

  https://www.kdnuggets.com/2020/10/software-20-takes-shape.html

• The Online Courses You Must Take to be a Better Data Scientist

  These select courses have proved to be precious online resources which helped make the author a better data scientist today.

  https://www.kdnuggets.com/2020/09/online-courses-better-data-scientist.html

• Modern Data Science Skills: 8 Categories, Core Skills, and Hot Skills">Modern Data Science Skills: 8 Categories, Core Skills, and Hot Skills

  We analyze the results of the Data Science Skills poll, including 8 categories of skills, 13 core skills that over 50% of respondents have, the emerging/hot skills that data scientists want to learn, and what is the top skill that Data Scientists want to learn.

  https://www.kdnuggets.com/2020/09/modern-data-science-skills.html

• Top Online Masters in Analytics, Business Analytics, Data Science – Updated">Top Online Masters in Analytics, Business Analytics, Data Science – Updated

  We provide an updated list of best online Masters in AI, Analytics, and Data Science, including rankings, tuition, and duration of the education program.

  https://www.kdnuggets.com/2020/09/best-online-masters-data-science-analytics-online.html

• Exploring GPT-3: A New Breakthrough in Language Generation

  GPT-3 is the largest natural language processing (NLP) transformer released to date, eclipsing the previous record, Microsoft Research’s Turing-NLG at 17B parameters, by about 10 times. This has resulted in an explosion of demos: some good, some bad, all interesting.

  https://www.kdnuggets.com/2020/08/exploring-gpt-3-breakthrough-language-generation.html

• Scaling Computer Vision Models with Dataflow

  Scaling Machine Learning models is hard and expensive. We will shortly introduce the Google Cloud service Dataflow, and how it can be used to run predictions on millions of images in a serverless way.

  https://www.kdnuggets.com/2020/07/scaling-computer-vision-models-dataflow.html

• Why Learn Python? Here Are 8 Data-Driven Reasons

  Through this blog, I will list out the major reasons why you should learn Python and the 8 major data-driven reasons for learning it.

  https://www.kdnuggets.com/2020/07/learn-python-8-data-driven-reasons.html

• A Layman’s Guide to Data Science. Part 3: Data Science Workflow">A Layman’s Guide to Data Science. Part 3: Data Science Workflow

  Learn and appreciate the typical workflow for a data science project, including data preparation (extraction, cleaning, and understanding), analysis (modeling), reflection (finding new paths), and communication of the results to others.

  https://www.kdnuggets.com/2020/07/laymans-guide-data-science-workflow.html

• Software engineering fundamentals for Data Scientists

  As a data scientist writing code for your models, it's quite possible that your work will make its way into a production environment to be used by the masses. But, writing code that is deployed as software is much different than writing code for exploratory data analysis. Learn about the key approaches for making your code production-ready that will save you time and future headaches.

  https://www.kdnuggets.com/2020/06/software-engineering-fundamentals-data-scientists.html

• Top 6 Reasons Data Scientists Should Know Java

  There are many reasons why data scientists should learn Java. Read this overview of 6 specific reasons to help decide if Java might be right for your projects.

  https://www.kdnuggets.com/2020/06/top-6-reasons-data-scientists-know-java.html

• Are Tera Operations Per Second (TOPS) Just hype? Or Dark AI Silicon in Disguise?

  This article explains why TOPS isn’t as accurate a gauge as many people think, and discusses other criteria that should be considered when evaluating a solution to a real application.

  https://www.kdnuggets.com/2020/05/tops-just-hype-dark-ai-silicon-disguise.html

• Introducing Brain Simulator II: A New Platform for AGI Experimentation

  A growing consensus of researchers contend that new algorithms are needed to transform narrow AI to AGI. Brain Simulator II is free software for new algorithm development targeted at AGI that you can experiment with and participate in its development.

  https://www.kdnuggets.com/2020/04/brain-simulator-new-platform-agi.html

• Dockerize Jupyter with the Visual Debugger

  A step by step guide to enable and use visual debugging in Jupyter in a docker container.

  https://www.kdnuggets.com/2020/04/dockerize-jupyter-visual-debugger.html

• A Layman’s Guide to Data Science. Part 2: How to Build a Data Project

  As Part 2 in a Guide to Data Science, we outline the steps to build your first Data Science project, including how to ask good questions to understand the data first, how to prepare the data, how to develop an MVP, reiterate to build a good product, and, finally, present your project.

  https://www.kdnuggets.com/2020/04/guide-data-science-build-data-project.html

• 50 Must-Read Free Books For Every Data Scientist in 2020">50 Must-Read Free Books For Every Data Scientist in 2020

  In this article, we are listing down some excellent data science books which cover the wide variety of topics under Data Science.

  https://www.kdnuggets.com/2020/03/50-must-read-free-books-every-data-scientist-2020.html

• Hand labeling is the past. The future is #NoLabel AI

  Data labeling is so hot right now… but could this rapidly emerging market face disruption from a small team at Stanford and the Snorkel open source project, which enables highly efficient programmatic labeling that is 10 to 1,000x as efficient as hand labeling?

  https://www.kdnuggets.com/2020/02/hand-labeling-past-future-nolabel-ai.html

• Basics of Audio File Processing in R

  This post provides basic information on audio processing using R as the programming language. It also walks through and understands some basics of sound and digital audio.

  https://www.kdnuggets.com/2020/02/basics-audio-file-processing-r.html